An Artificial Emotion Model for the Mutual Mapping Between Discrete State and Dimensional Space

doi:10.16182/j.issn1004731x.joss.20-0007

Abstract

Abstract: Emotional intelligence is an important component and development direction of machine intelligence. The purpose of artificial emotion model is to construct emotion models for machines to develope systematic ability of emotion understanding and expression. However, the existing methods are still insufficient in artificial emotion modeling ability. Aiming at the key factor of personalization in the construction of artificial emotion model, this paper proposes a method of mutual mapping between discrete emotion state and dimension space state, and constructs a machine personalized artificial emotion model based on Big Five personality model and emotion state transfer model. The relevant experimental results provide evidence for the rationality of this model. This research clears the barriers brought by the difference of emotion space definition to the machine emotion modeling, provides a new solution for the human-computer personalized interaction, and also provides a reference solution for the understanding and expression of machine emotion.

Key words: artificial emotion model, mutual mapping, personalization, emotional space

CLC Number:

Tian Zhihang, Chen Xiaming, Jiang Dazhi. An Artificial Emotion Model for the Mutual Mapping Between Discrete State and Dimensional Space[J]. Journal of System Simulation, 2021, 33(5): 1062-1069.

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